=Paper=
{{Paper
|id=Vol-222/paper-11
|storemode=property
|title=A CPG-Based Ontology Driven Clinical Decision Support System for Breast Cancer Follow-Up
|pdfUrl=https://ceur-ws.org/Vol-222/krmed2006-a11.pdf
|volume=Vol-222
|dblpUrl=https://dblp.org/rec/conf/krmed/Abidi06
}}
==A CPG-Based Ontology Driven Clinical Decision Support System for Breast Cancer Follow-Up==
<pdf width="1500px">https://ceur-ws.org/Vol-222/krmed2006-a11.pdf</pdf>
<pre>
KR-MED 2006 "Biomedical Ontology in Action"
November 8, 2006, Baltimore, Maryland, USA


       A CPG-Based Ontology Driven Clinical Decision Support System for
                         Breast Cancer Follow-up
                          Samina Raza Abidi Health Informatics Laboratory,
                                Dalhousie University, Halifax, Nova Scotia.
                                              abidi @cs.dal.ca
    Abstract:

    Breast cancer is the most common cancer among               assist the practitioner to make CPG mediated
    women in Canada. Due to recent advancements                 decisions, recommendations and referrals. In
    in treatment and diagnosis, more women are                  order to achieve the above functionality we have
    surviving breast cancer then ever before and                seamlessly integrated the CPG with patient data
    breast cancer survivors are the most prevalent              through electronic interface for collecting patient
    female cancer survivor group in Nova Scotia. As             information. The implementation of the system
    a consequence, the delivery of long-term follow-            is achieved in three main steps. In the first step
    up care, which has traditionally been provided at           we have converted the breast cancer follow-up
    the specialized cancer clinics, places a strain on          CPC in electronic format using the Guideline
    specialist resources. However, there is evidence            Element Model (GEM). In the second step we
    that family physician follow-up of women with               use the logic in the conditional statements of the
    breast cancer who are in remission is a safe and            CPG, to develop a domain ontology using
    viable alternative to follow-up in the cancer               Protégé. Finally in the third step the guideline is
    centers. Therefore, there is an incentive to the            executed using the execution engine developed
    transfer of breast cancer follow-up care to family          in Health Informatics Laboratory at Dalhousie
    physicians after primary treatment is completed             University. The rule authoring and execution
    by specialists. Notwithstanding, the benefits of            modules of the execution engine is used to
    such a transfer of services from the tertiary to the        develop IF and THEN forward rules with a list
    primary care centers the main issue is the                  of decision variables followed by IF part and list
    transfer of specialized breast cancer follow-up             of action variables followed by THEN part of the
    care knowledge to family physicians expertise.              rule and executing them using the patient
    In this regard, as a first step, Cancer Care Nova           specific data.
    Scotia has developed a Breast cancer follow-up
    clinical practice guideline for use by the family           The next steps are the deployment of the clinical
    physicians. Yet, the adoption of the said CPG is            decision support system within two clinics in
    a challenge in the clinical setting.                        Nova Scotia, followed by an evaluation study to
                                                                measure the efficacy of the CDSS in terms of
    We have developed a Clinical Practice Guideline             providing point-of-care support to family
    (CPG) based interactive decision support system             physicians conducting breast cancer follow-up.
    for the family practice setting to guide family
    physicians conducting breast cancer follow-ups.             Keywords: Breast cancer follow-up, clinical
    The idea is to computerize the breast cancer CPG            practice guideline, domain ontology, Guideline
    and then operationalize it using patient data to            Element Model, clinical decision support system.




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